Triple

T9529748
Position Surface form Disambiguated ID Type / Status
Subject Taneli Kekkonen E229855 entity
Predicate relative P37 FINISHED
Object Esko Aho E800458 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Esko Aho | Statement: [Taneli Kekkonen, relative, Esko Aho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esko Aho
Context triple: [Taneli Kekkonen, relative, Esko Aho]
  • A. Esko Aho chosen
    Esko Aho is a Finnish politician who served as Prime Minister in the early 1990s and later became known for his roles in business and academia.
  • B. Kalevi Aho
    Kalevi Aho is a Finnish contemporary composer renowned for his expansive symphonic output, concertos, and works often inspired by Finnish literature and mythology.
  • C. Jukka Keskitalo
    Jukka Keskitalo is a Finnish Lutheran bishop and church leader who serves as the head of the Diocese of Oulu in the Evangelical Lutheran Church of Finland.
  • D. Kalevi Sorsa
    Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
  • E. Hannu Heikkinen
    Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f5cd12881909fb1524a972448ee completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8 p.m.